BrainBench - LLM Evaluation

Authors

• Daniella Seum, Florida Institute of Technology
• Orion Powers, BrainBench - LLM Evaluation

Document Type

Poster

Publication Title

Northrop Grumman Engineering & Science Student Design Showcase

Abstract

As large language models become more widely used, there is a growing need for reliable and consistent methods to evaluate their performance. Existing benchmarks often lack transparency, consistency across runs, or the ability to handle varied answer formats. BrainBench was developed to address these gaps by providing an automated, reproducible evaluation framework that enables fair comparison of models and deeper insight into their strengths and limitations.

Advisor

Khaled Slhoub

Publication Date

4-24-2026

Recommended Citation

Seum, Daniella and Powers, Orion, "BrainBench - LLM Evaluation" (2026). Electrical Engineering and Computer Science Student Publications. 82.
https://repository.fit.edu/ces_student/82